10 citations · 25 across the 14 of their papers we have counts for
7 papers · 1 filter
Can a latent Hawkes process be used for epidemiological modelling?
Stamatina Lamprinakou, Axel Gandy, Emma McCoy
Understanding the spread of COVID-19 has been the subject of numerous studies, highlighting the significance of reliable epidemic models. Here, we introduce a novel epidemic model…
Causal Analysis at Extreme Quantiles with Application to London Traffic Flow Data
Prajamitra Bhuyan, Kaushik Jana, Emma J. McCoy
Transport engineers employ various interventions to enhance traffic-network performance. Quantifying the impacts of Cycle Superhighways is complicated due to the non-random assignm…
Non-parametric Bayesian inference via loss functions under model misspecification
Yu Luo, David A. Stephens, Daniel J. Graham +1
In the usual Bayesian setting, a full probabilistic model is required to link the data and parameters, and the form of this model and the inference and prediction mechanisms are sp…
An Evaluation Framework for Personalization Strategy Experiment Designs
C. H. Bryan Liu, Emma J. McCoy
Online Controlled Experiments (OCEs) are the gold standard in evaluating the effectiveness of changes to websites. An important type of OCE evaluates different personalization stra…
Multiply robust dose-response estimation for multivalued causal inference problems
Cian Naik, Emma J. McCoy, Daniel J. Graham
This paper develops a multiply robust (MR) dose-response estimator for causal inference problems involving multivalued treatments. We combine a family of generalised propensity sco…
Inference for a Class of Partially Observed Point Process Models
James S. Martin, Ajay Jasra, Emma McCoy
This paper presents a simulation-based framework for sequential inference from partially and discretely observed point process (PP's) models with static parameters. Taking on a Bay…